| 2023 | Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning. | Zhe Zhang, Xiaoyang Tan |
| 2023 | NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method. | Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong, Qinghua Zheng |
| 2023 | G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. | Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan |
| 2023 | MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment. | Zicheng Zhang, Wei Sun, Xiongkuo Min, Qiyuan Wang, Jun He, Quan Zhou, Guangtao Zhai |
| 2023 | SSML-QNet: Scale-Separative Metric Learning Quadruplet Network for Multi-modal Image Patch Matching. | Xiuwei Zhang, Yi Sun, Yamin Han, Yanping Li, Hanlin Yin, Yinghui Xing, Yanning Zhang |
| 2023 | Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms. | Yihan Zhang, Meikang Qiu, Hongchang Gao |
| 2023 | Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction. | Liang Zhang, Zijun Min, Jinsong Su, Pei Yu, Ante Wang, Yidong Chen |
| 2023 | Learning Object Consistency and Interaction in Image Generation from Scene Graphs. | Yangkang Zhang, Chenye Meng, Zejian Li, Pei Chen, Guang Yang, Changyuan Yang, Lingyun Sun |
| 2023 | Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer. | Yang Zhang, Lingbo Liu, Xinyu Xiong, Guanbin Li, Guoli Wang, Liang Lin |
| 2023 | On the Paradox of Learning to Reason from Data. | Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck |
| 2023 | Dual Personalization on Federated Recommendation. | Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang |
| 2023 | Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. | Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia |
| 2023 | Towards Semantics- and Domain-Aware Adversarial Attacks. | Jianping Zhang, Yung-Chieh Huang, Weibin Wu, Michael R. Lyu |
| 2023 | Multi-Robot Coordination and Layout Design for Automated Warehousing. | Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li |
| 2023 | Towards Generalizable Reinforcement Learning for Trade Execution. | Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao |
| 2023 | Max Markov Chain. | Yu Zhang, Mitchell Bucklew |
| 2023 | Large Decision Models. | Weinan Zhang |
| 2023 | Enhancing Datalog Reasoning with Hypertree Decompositions. | Xinyue Zhang, Pan Hu, Yavor Nenov, Ian Horrocks |
| 2023 | User-Centric Democratization towards Social Value Aligned Medical AI Services. | Zhaonian Zhang, Richard Jiang |
| 2023 | Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. | Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian |
| 2023 | FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation. | Yuxuan Zhang, Wei Yang, Shaowei Wang |
| 2023 | Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. | Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian |
| 2023 | Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding. | Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia |
| 2023 | Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data. | Yuyao Zhai, Liang Chen, Minghua Deng |
| 2023 | Quantifying Consistency and Information Loss for Causal Abstraction Learning. | Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas |